13results about How to "Protect interests" patented technology

The invention provides a multi-dimensional charging method and device for computing power resources and electronic equipment, and the method comprises the steps: converting physical measurement indexes of all resource types in an original resource ticket, and obtaining a standard resource ticket; constructing a rate configuration model based on the basic unit price and the adjustment coefficient corresponding to each resource type; the adjustment coefficient is used for reflecting the resource commercial value difference of each resource type; and finally, inputting the standard resource ticket into the rate configuration model to obtain a cost result. According to the method provided by the invention, the original resource ticket of each resource type is acquired and converted into the standard resource ticket, so that unified measurement of heterogeneous resource data is realized; by constructing the rate configuration model containing the resource performance coefficient and comprehensively considering the influence of the resource type and the performance difference on the commercial value, accurate metering and charging of various intelligent computing resources are realized, the benefits of service providers and users are effectively balanced, and the standardization and high efficiency level of intelligent computing power business charging management is improved.

The invention discloses a system privatization method and device, a privatization deployment system, equipment and a medium. The method is applied to a server corresponding to a first client, the first client is a client requesting a system deployment permission from a management end of a system, and the method comprises the steps of receiving a system deployment instruction sent by the management end under the condition that the management end verifies that the server meets a system deployment condition; performing private deployment on the system based on the system deployment instruction; receiving a system access request sent by a second client; in response to the system access request, using a license authentication service unit of a media service module in the system to perform system access permission verification on the second client; and under the condition that the second client passes the system access permission verification, the second client is allowed to access the system, so that the private deployment and private access of the system are realized, and the use security of the system is improved.

The invention relates to a novel quantum secret sharing method based on a Bell state. The method comprises the following steps that: firstly, a secret distributor sends a sequence of mixed Bell states and decoy particles to participants; secondly, the participants encode secret shares of the participants into corresponding Pauli operators, and the Pauli operators are applied to the received particle sequences; and finally, the participants recover the shared secret information through cooperation. And shared secret information can be obtained by executing Bell-based measurement by a secret distributor. Compared with other quantum secret sharing methods, the method has the advantages that the secret distributor does not grasp the secret share of the participant, even if the secret distributor grasp the shared secret information, the secret share of the participant cannot be deduced, and the privacy and benefits of the participant can be effectively protected. On the basis of meeting safety, a Bell state is used as a quantum carrier, and compared with an entangled state of n particles, the Bell state is easier to prepare; and meanwhile, various eavesdropping attacks can be effectively resisted. Compared with a traditional method, the method is more practical and higher in efficiency.

The application discloses a cross-industry supply chain supervision method based on multi-chain cooperation, a business sub-chain is used for recording internal information of enterprise transaction subjects and business data of various supply processes; a transaction main chain is mainly responsible for transaction implementation and interaction between different businesses, and records circulation states and transaction data of commodities at various links of the supply chain; and a supervision chain is used for supervising and auditing transaction data between different businesses of the supply chain. The application combines an identity-based encryption mechanism based on fine-grained privacy protection, protects the privacy of multi-party cooperative transaction data in the supply chain process, and solves the contradiction between the privacy of supply chain transaction data and the implementation of supervision. The application designs two verification methods of transaction types based on an aggregated signature protocol, so as to realize aggregated verification of on-chain transactions and rapid tracking of abnormal transactions, and effectively improves the performance of system supervision and traceability.

The application provides a reverse current prevention method and device of a photovoltaic power supply system, a terminal and a storage medium. The method comprises the following steps: acquiring electric energy data of a low-voltage power grid in real time; subtracting the electric energy data at a previous moment from the electric energy data at a current moment to obtain an electric energy difference; if the electric energy difference is greater than a first preset threshold, adjusting a photovoltaic inverter based on the electric energy difference to reduce the output power of the photovoltaic inverter; if the electric energy difference is greater than a second preset threshold, controlling the photovoltaic inverter to stop; and if the electric energy difference is greater than a third preset threshold, controlling a contactor to be disconnected. The first preset threshold is smaller than the second preset threshold, and the second preset threshold is smaller than the third preset threshold. Through the above scheme, the application can perform hierarchical reverse current prevention control according to the size of a local load surge, thereby improving the reverse current prevention response speed and guaranteeing the interests of photovoltaic power generation users.

The invention discloses an aquatic product processing security management and control system based on blockchain traceability, and relates to the technical field of network security and data traceability, and the system comprises the steps that a multi-source data collection module collects processing whole-link parameters and related information, encrypts and uploads the parameters and related information, and associates an identifier; the data preprocessing and encryption module cleans standardized data, encrypts sensitive information and generates a unique identifier; the block chain traceability core module constructs an alliance chain to realize data chaining and non-tampering traceability; the intelligent safety management and control module evaluates compliance in real time and links equipment to dispose risks; the distributed data storage module adopts a hybrid architecture to guarantee data reliability; and the visual interaction and early warning module presents information and pushes early warning. According to the invention, full-chain data credible traceability is realized based on the block chain, risks are intelligently controlled and accurately identified and disposed, multi-agent collaboration is efficient, and data security is guaranteed; the method adapts to multi-scene requirements, improves processing compliance and emergency response capability, and assists in industrial safety management and control upgrading.

This invention provides a risk assessment method, a risk assessment device, a computer device, and a storage medium, relating to the field of artificial intelligence. The method includes: acquiring business data and extracting information from the business data to obtain business information corresponding to each business type and multiple user nodes; establishing association information between user nodes based on the business information corresponding to each business type, and generating a multi-layer topology network based on the association information; performing network fusion on the multi-layer topology network to obtain a vector matrix corresponding to the multi-layer topology network; detecting and filtering user nodes based on the vector matrix corresponding to the multi-layer topology network to obtain target user nodes; and performing risk prediction on user node groups associated with the target user nodes to obtain risk assessment results corresponding to the user node groups. This allows for rapid and accurate detection of fraud targets, effectively curbing insurance fraud and preventing losses to company interests.

This invention discloses a D2D computation offloading optimization method and apparatus based on spectrum sharing, belonging to the field of mobile edge computing technology. It includes: constructing utility functions for demanding users, idle users, and base stations, and establishing a three-party utility optimization model; dividing the resource optimization process into three optimization sub-problems; solving the three optimization sub-problems using an inner-layer two-level game optimization algorithm under a given task offloading strategy; updating the task offloading strategy using an outer-layer offloading strategy optimization algorithm, which first uses GS stable matching to obtain the initial value of the offloading strategy, and then performs feasible improvement searches through swapping, replacing, and adding operations; cyclically solving sub-problems and updating the strategy until a preset termination condition is met, outputting the optimized task offloading strategy, channel allocation strategy, channel unit price, computational resource size, and computational resource unit price. This method can improve the comprehensive utility of demanding users, idle users, and base stations while protecting the interests of primary users, and is suitable for MEC collaborative computing and D2D offloading scenarios under spectrum scarcity conditions.

The present application is directed to the field of photovoltaic power generation technology, and provides a photovoltaic support foundation construction method, comprising the following steps: S1. Leveling the site; S2. GPS positioning: according to the requirements of the construction drawing, the micro prefabricated steel pile position of the photovoltaic component inner support foundation is positioned by GPS; S3. Piling; S4. Inclined drilling: while the air drilling machine drills the boulder, the micro prefabricated steel pile can be hit by the pile driver at any time; S5. Shifting and again inclined drilling: if there is a large-diameter boulder in front of the micro prefabricated steel pile, the air drilling machine is translated 300mm away from the pile position, and step 4 is cycled; S6. Reaching the burial depth. The present application effectively solves the situation that the micro prefabricated steel pile cannot be hit through when encountering a boulder during the hammering process, does not need to change the geological soil layer structure of the pile position, does not reduce the frictional resistance on both sides of the pile, ensures the stability of the foundation, reduces the construction difficulty, protects the interests of the owner and the contractor, and is very popular.

The application discloses an edge cache network user inter-content sharing incentive method based on power perception, and comprises the following steps: establishing an edge cache network scene; establishing a content sharing management system in the edge cache network; and realizing the incentive of user inter-content sharing based on power perception, which comprises the following steps: calculating the evaluation of B-type users on content and the energy consumption cost of S-type users in transmitting content; B-type users submitting their request information to a small base station, and S-type users submitting their state information to the small base station; obtaining a matching success set through a user matching algorithm; determining the final integral deduction amount of B-type users and the final integral reward amount of S-type users by using a pricing scheme; and the users in the matching success set sharing content according to the information published by the small base station. Compared with the prior art, the application can effectively encourage the sharing of content among users, take into account the interests of both buyers and sellers, and maximize social welfare as much as possible.

This invention discloses a distributed large model token counting method based on trace linking, relating to the field of large model management technology. The method involves collecting token consumption data from the previous day's data via a distributed cloud large model server, uploading this data to Kafka, and receiving and parsing the token consumption data from Kafka via a large model management center. Data from different nodes is integrated based on the trace ID to form complete request chain data. Following a hierarchical and domain-based approach, the large model management center stores user token consumption data in object storage. Finally, based on business needs, the large model management center displays relevant statistical data of message chains within a filtered region.

The invention discloses a day-ahead and intra-day triggering multi-time-scale scheduling system and method for a micro-energy grid, relates to the technical field of power system scheduling, and mainly aims to solve the problems that in the prior art, due to single-time-scale optimization or power quality single-index management, the robustness of the system to uncertainty is poor, the controllability of power quality is low, and the scheduling efficiency is high. And the multi-agent cooperation efficiency is low. The system comprises a source load data prediction module, a dynamic time-of-use electricity price module, an optimization scheduling module, an electric energy quality monitoring module, a trigger scheduling module and an instruction distribution module. And a multi-time scale framework of'prediction-monitoring-scheduling-execution 'full-chain coordination is constructed, so that the robustness of the system to uncertainty, the controllability of electric energy quality and the high efficiency of multi-agent coordination are improved.

The application discloses a method, device and equipment for recovering abnormal transaction data and a storage medium. The method comprises the following steps: obtaining transaction data of each transaction of a target user in a preset time period, establishing the transaction data of each transaction into a first data table, determining each transaction index in the first data table, and obtaining a second data table by performing data abnormality processing on the first data table according to each transaction index. Thus, the abnormal transaction in the first data table can be determined. However, the abnormal transaction is not determined as a false transaction or deleted data. Instead, the second data table and each abnormal transaction are reconstructed in a two-dimensional space to obtain a chain graph corresponding to the target user. Then, data of the chain graph is restored, so that the recovery of the abnormal transaction data is completed. The method can ensure normal operation of a transaction system and protect interests of both parties in a transaction.